• Restaurant Marketing

From Anonymous to Loyal: How Restaurants Can Convert Guest Data into Regulars

by: Allen Graves
6 min read

Transforming one-time visitors into loyal customers should be a top priority for any restaurateur.

Yet many restaurants face a significant challenge—most guests remain anonymous, leaving little insight into their preferences, habits, or likelihood to return.

The solution lies in guest data.

By leveraging guest data from various sources such as WiFi logins, online ordering, reservations, POS systems, and review sites, restaurants can turn anonymous visitors into loyal regulars.

This guide explores how restaurants can collect, centralize, and use guest data to personalize marketing efforts, automate re-engagement campaigns, and foster long-term loyalty.

The end result? A data-driven approach that boosts guest retention and maximizes overall revenue.

restaurateur creating regulars with guest data

Why Guest Data is Critical for Building Loyalty

Every interaction between a guest and your restaurant—dining in, placing an online order, making a reservation, or leaving a review—can create valuable data.

However, many restaurants fail to harness this data effectively.

Without a system to collect and organize guest information, opportunities to create personalized experiences are missed.

According to research from Epsilon, 80% of customers are more likely to make a purchase when offered personalized experiences. This underscores the importance of understanding guest behavior and preferences.

Restaurants that capture and centralize guest data can craft tailored marketing campaigns, significantly increasing engagement and loyalty. The first step in leveraging guest data is to establish a system that consolidates it from all available touchpoints:

  • WiFi logins offer basic guest information, such as email addresses and demographics.
  • Online ordering platforms track ordering habits and preferences.
  • Reservation systems provide insight into the frequency of visits and party size.
  • Review sites give real-time feedback on the guest experience and customer sentiment, which is invaluable for improving service and addressing issues.
  • POS Systems track average spend and menu preferences.

With this information, restaurants can create a complete profile for each guest, enabling more personalized interactions and targeted marketing.

restaurant regulars entering data

Progressive Profiling: Gradually Building Complete Guest Profiles

One of the most effective ways to gather guest information without overwhelming them is through progressive profiling. Rather than asking for all guest details upfront, progressive profiling allows restaurants to collect small pieces of data over time.

For example, the first time a guest logs into your WiFi, you might only request their email address. During their next visit, you can prompt them to share their birthday, ZIP code, or dining preferences.

This method reduces friction and encourages more guests to provide more information. Over time, the restaurant builds a complete guest profile, which can be used to craft highly personalized marketing campaigns.

Progressive profiling ensures that data collection is seamless and integrated into the guest experience, making it easier to gather actionable insights without being intrusive.

Action Tip: Start with a simple data request (such as email) and gradually build your profile over time. Use WiFi logins, online ordering/reservations, and post-dining surveys to ask for one new piece of information with each interaction.

restaurant regular being progressively profiled

Using Guest Segmentation for Targeted Campaigns

Once guest data is centralized, restaurants can begin segmenting their audience into different categories based on behavior, frequency of visits, and preferences. Segmentation allows restaurants to create targeted marketing campaigns that resonate more with specific guest groups.

For example, you might segment guests into categories such as:

  • First-time visitors: Send a welcome message and offer to encourage a second visit.
  • Regulars: Reward frequent diners with loyalty incentives or exclusive access to events.
  • At-risk guests: Identify guests who haven’t visited in a while and send a personalized offer to win them back.
  • Lunchtime visitors: Identify guests who only dine at lunchtime and promote happy hour or dinner specials.

Research shows that segmented email campaigns can drive up to 760% more revenue than non-targeted campaigns. By delivering the right message to the right guest at the right time, restaurants can foster stronger relationships and increase the likelihood of repeat visits.

Automating Guest Re-Engagement with AI

One of the biggest challenges for restaurants is keeping guests engaged after their initial visit. This is where AI-powered marketing automation comes into play. Using tools like Bloom Intelligence, restaurants can automate the process of re-engaging guests based on their behavior – or lack thereof.

For example, if a guest hasn’t visited in several weeks, the system can identify the guest and automatically send a personalized message offering a special promotion.

This type of triggered marketing is highly effective. In fact, AI-driven marketing campaigns have been shown to increase engagement rates by 22% and win back up to 37% of lost guests.

Marketing automation also saves time for restaurant marketers, as campaigns can be set up once and run continuously. By using AI to analyze guest data and determine the best times to send offers, restaurants can ensure that their outreach is both timely and relevant, maximizing the chances of bringing guests back.

Action Tip: Automate marketing campaigns based on guest behavior. Set up triggers for at-risk guests, frequent visitors, and those celebrating special occasions like birthdays. AI can help deliver these messages at the optimal time.

Localized Campaigns for Greater Impact

Guest data can also provide insights into where your customers are coming from, allowing you to run localized marketing campaigns.

For example, if your restaurant has multiple locations, you can segment guests based on their postal code and proximity to each location. Neighborhood-specific promotions or events can help build a sense of community and increase loyalty among local diners.

According to a study by Google, 76% of people who conduct a local search on their smartphone visit a physical place within 24 hours, making geo-targeted campaigns a valuable strategy. By tapping into data such as guest ZIP codes, restaurants can create hyper-localized offers that resonate with nearby guests.

The End Value: Increased Loyalty and Revenue

The end value of utilizing guest data through a Customer Data Platform (CDP) and automating marketing efforts is clear: increased guest loyalty and higher revenue.

By personalizing experiences, automating re-engagement, and tailoring offers to specific guest segments, restaurants can significantly improve retention and drive repeat business.

Key Benefits of Automating Guest Data Marketing:

Efficiency: Automation saves time and ensures consistent guest engagement without manual effort.
Personalization: Tailored offers based on guest behavior make guests feel valued, increasing the likelihood of repeat visits.
Increased Revenue: Personalized marketing and loyalty campaigns drive higher conversion rates and return visits.

create regulars and fill seats with guest data

Getting Started

With an all-in-one restaurant marketing solution like Bloom Intelligence, guest data can be collected automatically from all your guests’ touch points. Then you can quickly and easily:

1. Centralize Your Guest Data: Use a platform that integrates all your data sources (Wi-Fi, online orders, reservations, reviews) into one unified system.
2. Set Up Progressive Profiling: Start small by asking guests for basic information and build on that with each interaction.
3. Segment Your Audiences: Categorize your guests into meaningful groups (regulars, at-risk, locals) and target them with personalized campaigns.
4. Automate Your Campaigns: Use AI-driven tools to automatically send personalized messages at the right time, increasing engagement and retention.
5. Monitor Results: Track the performance of each campaign and adjust based on data insights to continuously improve.

Restaurants that embrace data-driven marketing see measurable results. By turning anonymous guests into loyal regulars, you not only improve the guest experience but also significantly boost your bottom line.

Schedule a Free Demo Today

Bloom Intelligence is an AI-powered restaurant marketing platform that includes a powerful customer data platform, automated data collection, marketing automation, and reputation management tools.

Bloom can easily identify and automatically re-engage lost guests via email or SMS. Users are seeing 37%+ of their lost guests return, improving revenue and filling seats.

Guest data is collected from many different sources and aggregated into one single platform, making it simple and easy to analyze and segment your restaurant’s guest personas, including lost guests.

Bloom makes guest data collection effortless, allowing you to quickly execute the strategies listed above, saving you time, increasing customer lifetime values, attracting new guests, improving your reputation, and boosting your bottom line.

To see more of what Bloom can do for your restaurant, schedule a free demo today, or call us at 727-877-8181.


Restaurant Marketing FAQs

What is Restaurant Marketing?

Restaurant marketing is the process of getting people to visit your restaurants. Restaurant marketing creates loyalty, provides data to research, analytics, and allows restaurants to gain a better understanding of their ideal customer profile. It utilizes all customer channels: guest WiFi, website, social, rating sites, mobile apps, email, text, and advertising.

Learn More About Restaurant Marketing Here

What is WiFi Marketing?

WiFi marketing is a marketing technique that uses guest WiFi to collect & clean customer data such as names, emails, phone numbers, customer behavior, and demographics. This data is used to personalize marketing campaigns to increase customer loyalty, build online reviews, and save at-risk customers. The performance of every campaign can be tracked down to the tangible ROI of a customer walking back in your door.

Learn More About WiFi Marketing Here

What is Restaurant Reputation Management?

Restaurant reputation management is the process for restaurants to manage customer feedback and creating systems to improve customer experiences, passively build positive online reviews, and save at-risk customers. It is a very important aspect of running a successful restaurant business.

Learn More About Restaurant Reputation Management Here

How Does Bloom Identify and Bring Back Lost Customers?

Bloom Intelligence uses machine learning to identify at-risk customers. When one is recognized, the system will send them a message with an incentive to get them to return and re-establish their visit pattern. Bloom users are seeing up to 37% of churning customers return.

Learn More About Saving At-Risk Customers Here

SAVE TIME, INCREASE CUSTOMER LIFETIME VALUES, CREATE NEW CUSTOMERS

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